Overview

Brought to you by YData

Dataset statistics

Number of variables20
Number of observations1084
Missing cells0
Missing cells (%)0.0%
Duplicate rows64
Duplicate rows (%)5.9%
Total size in memory169.5 KiB
Average record size in memory160.1 B

Variable types

Numeric20

Alerts

Dataset has 64 (5.9%) duplicate rowsDuplicates
Delta_TP9 has 34 (3.1%) infinite valuesInfinite
Theta_TP9 has 34 (3.1%) infinite valuesInfinite
Alpha_TP9 has 34 (3.1%) infinite valuesInfinite
Beta_TP9 has 34 (3.1%) infinite valuesInfinite
Gamma_TP9 has 34 (3.1%) infinite valuesInfinite

Reproduction

Analysis started2024-10-03 22:06:24.872241
Analysis finished2024-10-03 22:07:04.846898
Duration39.97 seconds
Software versionydata-profiling vv4.10.0
Download configurationconfig.json

Variables

Delta_TP9
Real number (ℝ)

INFINITE 

Distinct40
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite34
Infinite (%)3.1%
Mean-inf
Minimum-inf
Maximum4.379803
Zeros0
Zeros (%)0.0%
Negative34
Negative (%)3.1%
Memory size8.6 KiB
2024-10-03T18:07:04.910558image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-inf
5-th percentile2.8248067
Q13.6479032
median3.928307
Q34.21949
95-th percentile4.3655963
Maximum4.379803
Rangeinf
Interquartile range (IQR)0.5715868

Descriptive statistics

Standard deviationnan
Coefficient of variation (CV)nan
Kurtosisnan
Mean-inf
Median Absolute Deviation (MAD)0.291183
Skewnessnan
Sum-inf
Variancenan
MonotonicityNot monotonic
2024-10-03T18:07:05.025589image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
3.65043 67
 
6.2%
3.6085303 66
 
6.1%
4.2671776 65
 
6.0%
-inf 34
 
3.1%
4.2117443 34
 
3.1%
3.7011456 34
 
3.1%
3.783032 33
 
3.0%
3.5509484 33
 
3.0%
3.2889843 33
 
3.0%
4.2541523 33
 
3.0%
Other values (30) 652
60.1%
ValueCountFrequency (%)
-inf 34
3.1%
2.521061 13
 
1.2%
2.8248067 25
 
2.3%
3.2889843 33
3.0%
3.3738618 33
3.0%
3.5509484 33
3.0%
3.6085303 66
6.1%
3.6342356 31
2.9%
3.6479032 26
 
2.4%
3.65043 67
6.2%
ValueCountFrequency (%)
4.379803 33
3.0%
4.3655963 33
3.0%
4.3078756 33
3.0%
4.2762666 7
 
0.6%
4.2671776 65
6.0%
4.2541523 33
3.0%
4.2430267 33
3.0%
4.2307625 33
3.0%
4.21949 9
 
0.8%
4.212088 19
 
1.8%

Delta_AF7
Real number (ℝ)

Distinct58
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1744182
Minimum1.2266403
Maximum4.015507
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.6 KiB
2024-10-03T18:07:05.272219image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum1.2266403
5-th percentile2.234288
Q12.9321187
median3.2398212
Q33.602766
95-th percentile3.8465648
Maximum4.015507
Range2.7888667
Interquartile range (IQR)0.6706473

Descriptive statistics

Standard deviation0.55301302
Coefficient of variation (CV)0.17420925
Kurtosis2.2361351
Mean3.1744182
Median Absolute Deviation (MAD)0.3501906
Skewness-1.2515047
Sum3441.0693
Variance0.3058234
MonotonicityNot monotonic
2024-10-03T18:07:05.375458image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.234288 33
 
3.0%
2.4906352 33
 
3.0%
3.6805158 33
 
3.0%
2.8784225 33
 
3.0%
3.0659258 33
 
3.0%
3.5365481 33
 
3.0%
3.4781952 33
 
3.0%
4.015507 33
 
3.0%
3.7147124 33
 
3.0%
2.3621588 33
 
3.0%
Other values (48) 754
69.6%
ValueCountFrequency (%)
1.2266403 2
 
0.2%
1.268033 26
2.4%
1.3137906 5
 
0.5%
2.234288 33
3.0%
2.3621588 33
3.0%
2.4906352 33
3.0%
2.5692368 15
1.4%
2.6079333 17
1.6%
2.6961927 32
3.0%
2.738107 5
 
0.5%
ValueCountFrequency (%)
4.015507 33
3.0%
3.8538854 5
 
0.5%
3.8465648 31
2.9%
3.7975097 13
 
1.2%
3.7807813 26
2.4%
3.7226887 21
1.9%
3.7147124 33
3.0%
3.6805158 33
3.0%
3.662461 31
2.9%
3.6569324 1
 
0.1%

Delta_AF8
Real number (ℝ)

Distinct44
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6381868
Minimum1.670187
Maximum3.6604717
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.6 KiB
2024-10-03T18:07:05.470877image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum1.670187
5-th percentile1.9023643
Q12.3121994
median2.7092927
Q32.9600012
95-th percentile3.402055
Maximum3.6604717
Range1.9902847
Interquartile range (IQR)0.6478018

Descriptive statistics

Standard deviation0.47118534
Coefficient of variation (CV)0.17860196
Kurtosis-0.69735925
Mean2.6381868
Median Absolute Deviation (MAD)0.3771284
Skewness-0.05137925
Sum2859.7945
Variance0.22201562
MonotonicityNot monotonic
2024-10-03T18:07:05.573969image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
1.9320635 66
 
6.1%
2.3730888 34
 
3.1%
2.0843728 34
 
3.1%
2.9395523 34
 
3.1%
3.1962352 34
 
3.1%
2.3247476 34
 
3.1%
2.9634137 33
 
3.0%
3.1982255 33
 
3.0%
2.933268 33
 
3.0%
2.795751 33
 
3.0%
Other values (34) 716
66.1%
ValueCountFrequency (%)
1.670187 32
3.0%
1.9023643 31
2.9%
1.9320635 66
6.1%
2.0843728 34
3.1%
2.1418116 32
3.0%
2.1672568 32
3.0%
2.2040527 3
 
0.3%
2.2957716 30
2.8%
2.3121994 32
3.0%
2.3247476 34
3.1%
ValueCountFrequency (%)
3.6604717 33
3.0%
3.402055 33
3.0%
3.2245405 7
 
0.6%
3.1982255 33
3.0%
3.1962352 34
3.1%
3.1494372 33
3.0%
3.1359515 26
2.4%
3.0452595 6
 
0.6%
2.9832618 11
 
1.0%
2.9634137 33
3.0%

Delta_TP10
Real number (ℝ)

Distinct43
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.8194195
Minimum1.828832
Maximum4.4457755
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.6 KiB
2024-10-03T18:07:05.671396image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum1.828832
5-th percentile3.1335237
Q13.6356325
median3.9143708
Q34.092955
95-th percentile4.3580637
Maximum4.4457755
Range2.6169435
Interquartile range (IQR)0.4573225

Descriptive statistics

Standard deviation0.48594509
Coefficient of variation (CV)0.12723009
Kurtosis6.3626488
Mean3.8194195
Median Absolute Deviation (MAD)0.243264
Skewness-2.1313404
Sum4140.2507
Variance0.23614263
MonotonicityNot monotonic
2024-10-03T18:07:05.773746image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
4.092955 66
 
6.1%
1.828832 34
 
3.1%
4.4457755 34
 
3.1%
3.9002545 34
 
3.1%
4.1949368 34
 
3.1%
3.6356325 33
 
3.0%
3.2818778 33
 
3.0%
3.9143708 33
 
3.0%
3.699742 33
 
3.0%
3.5653288 33
 
3.0%
Other values (33) 717
66.1%
ValueCountFrequency (%)
1.828832 34
3.1%
3.1335237 31
2.9%
3.2818778 33
3.0%
3.3085718 20
1.8%
3.350997 33
3.0%
3.3750415 13
 
1.2%
3.3825698 6
 
0.6%
3.4549394 31
2.9%
3.468979 26
2.4%
3.5653288 33
3.0%
ValueCountFrequency (%)
4.4457755 34
3.1%
4.3580637 25
2.3%
4.344009 8
 
0.7%
4.3198285 32
3.0%
4.256991 33
3.0%
4.243253 33
3.0%
4.218895 5
 
0.5%
4.1949368 34
3.1%
4.191753 13
 
1.2%
4.1630836 19
1.8%

Theta_TP9
Real number (ℝ)

INFINITE 

Distinct40
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite34
Infinite (%)3.1%
Mean-inf
Minimum-inf
Maximum3.5623784
Zeros0
Zeros (%)0.0%
Negative34
Negative (%)3.1%
Memory size8.6 KiB
2024-10-03T18:07:05.870293image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-inf
5-th percentile1.8927668
Q12.6490993
median3.163305
Q33.3075502
95-th percentile3.5166817
Maximum3.5623784
Rangeinf
Interquartile range (IQR)0.6584509

Descriptive statistics

Standard deviationnan
Coefficient of variation (CV)nan
Kurtosisnan
Mean-inf
Median Absolute Deviation (MAD)0.2409477
Skewnessnan
Sum-inf
Variancenan
MonotonicityNot monotonic
2024-10-03T18:07:05.987936image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
2.6709113 67
 
6.2%
2.5874588 66
 
6.1%
3.3151822 65
 
6.0%
-inf 34
 
3.1%
3.287721 34
 
3.1%
2.6442652 34
 
3.1%
2.76838 33
 
3.0%
2.5502925 33
 
3.0%
3.3075502 33
 
3.0%
3.321398 33
 
3.0%
Other values (30) 652
60.1%
ValueCountFrequency (%)
-inf 34
3.1%
1.6630166 13
 
1.2%
1.8927668 25
 
2.3%
2.405161 33
3.0%
2.5502925 33
3.0%
2.5874588 66
6.1%
2.6412308 31
2.9%
2.6442652 34
3.1%
2.6490993 26
 
2.4%
2.6709113 67
6.2%
ValueCountFrequency (%)
3.5623784 33
3.0%
3.5166817 33
3.0%
3.4441214 31
2.9%
3.3814137 33
3.0%
3.3324225 1
 
0.1%
3.3215253 33
3.0%
3.321398 33
3.0%
3.3151822 65
6.0%
3.3075502 33
3.0%
3.3026173 7
 
0.6%

Theta_AF7
Real number (ℝ)

Distinct58
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.7808699
Minimum0.96012604
Maximum3.576504
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.6 KiB
2024-10-03T18:07:06.092176image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0.96012604
5-th percentile1.615209
Q12.6487646
median3.0206566
Q33.1356273
95-th percentile3.4079
Maximum3.576504
Range2.616378
Interquartile range (IQR)0.4868627

Descriptive statistics

Standard deviation0.56257846
Coefficient of variation (CV)0.20230305
Kurtosis1.5583904
Mean2.7808699
Median Absolute Deviation (MAD)0.2859373
Skewness-1.3619155
Sum3014.463
Variance0.31649453
MonotonicityNot monotonic
2024-10-03T18:07:06.199907image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.1797948 33
 
3.0%
1.615209 33
 
3.0%
3.0847 33
 
3.0%
2.8769643 33
 
3.0%
3.0651584 33
 
3.0%
3.576504 33
 
3.0%
2.712962 33
 
3.0%
3.0309842 33
 
3.0%
2.7232969 33
 
3.0%
1.8647487 33
 
3.0%
Other values (48) 754
69.6%
ValueCountFrequency (%)
0.96012604 2
 
0.2%
1.0015187 26
2.4%
1.0472763 5
 
0.5%
1.615209 33
3.0%
1.6852955 15
1.4%
1.7186224 17
1.6%
1.8647487 33
3.0%
2.1797948 33
3.0%
2.3249617 5
 
0.5%
2.3439388 18
1.7%
ValueCountFrequency (%)
3.576504 33
3.0%
3.4146638 3
 
0.3%
3.4079 26
2.4%
3.369949 26
2.4%
3.3694594 1
 
0.1%
3.3686142 4
 
0.4%
3.3671896 5
 
0.5%
3.3585227 11
 
1.0%
3.3074744 22
2.0%
3.2703369 26
2.4%

Theta_AF8
Real number (ℝ)

Distinct44
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7928593
Minimum1.2176121
Maximum2.6925669
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.6 KiB
2024-10-03T18:07:06.294517image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum1.2176121
5-th percentile1.3138183
Q11.5801024
median1.8180882
Q31.958866
95-th percentile2.4044223
Maximum2.6925669
Range1.4749548
Interquartile range (IQR)0.3787636

Descriptive statistics

Standard deviation0.32667539
Coefficient of variation (CV)0.18220915
Kurtosis0.22569357
Mean1.7928593
Median Absolute Deviation (MAD)0.2115891
Skewness0.53652021
Sum1943.4595
Variance0.10671681
MonotonicityNot monotonic
2024-10-03T18:07:06.390009image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
1.3138183 66
 
6.1%
1.7277521 34
 
3.1%
1.3731246 34
 
3.1%
1.8551576 34
 
3.1%
2.1850674 34
 
3.1%
1.6012195 34
 
3.1%
1.8414545 33
 
3.0%
2.2450225 33
 
3.0%
1.9717497 33
 
3.0%
1.8349327 33
 
3.0%
Other values (34) 716
66.1%
ValueCountFrequency (%)
1.2176121 32
3.0%
1.3138183 66
6.1%
1.3731246 34
3.1%
1.4303472 31
2.9%
1.4337589 32
3.0%
1.4850112 3
 
0.3%
1.5193266 32
3.0%
1.5395638 33
3.0%
1.5801024 30
2.8%
1.6012195 34
3.1%
ValueCountFrequency (%)
2.6925669 33
3.0%
2.4044223 33
3.0%
2.2542734 7
 
0.6%
2.2450225 33
3.0%
2.1850674 34
3.1%
2.1750393 33
3.0%
2.1635664 26
2.4%
2.0452287 6
 
0.6%
1.9772364 1
 
0.1%
1.9717497 33
3.0%

Theta_TP10
Real number (ℝ)

Distinct43
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.9518158
Minimum1.3299531
Maximum3.5320163
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.6 KiB
2024-10-03T18:07:06.489177image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum1.3299531
5-th percentile2.0014584
Q12.8097408
median3.0702324
Q33.3086839
95-th percentile3.5041857
Maximum3.5320163
Range2.2020632
Interquartile range (IQR)0.4989431

Descriptive statistics

Standard deviation0.47705556
Coefficient of variation (CV)0.16161427
Kurtosis2.354288
Mean2.9518158
Median Absolute Deviation (MAD)0.2407026
Skewness-1.5160956
Sum3199.7684
Variance0.22758201
MonotonicityNot monotonic
2024-10-03T18:07:06.592334image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
3.0477326 66
 
6.1%
1.3299531 34
 
3.1%
3.5320163 34
 
3.1%
3.35108 34
 
3.1%
3.1861813 34
 
3.1%
2.575075 33
 
3.0%
2.1558156 33
 
3.0%
2.9421844 33
 
3.0%
2.687811 33
 
3.0%
3.2750993 33
 
3.0%
Other values (33) 717
66.1%
ValueCountFrequency (%)
1.3299531 34
3.1%
2.0014584 31
2.9%
2.1558156 33
3.0%
2.3035994 33
3.0%
2.3170962 20
1.8%
2.3832524 13
 
1.2%
2.575075 33
3.0%
2.664223 32
3.0%
2.687811 33
3.0%
2.8097408 33
3.0%
ValueCountFrequency (%)
3.5320163 34
3.1%
3.5041857 26
2.4%
3.4878902 31
2.9%
3.4138026 6
 
0.6%
3.35108 34
3.1%
3.3357346 32
3.0%
3.3317885 25
2.3%
3.3205593 8
 
0.7%
3.3159375 33
3.0%
3.310935 25
2.3%

Alpha_TP9
Real number (ℝ)

INFINITE 

Distinct38
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite34
Infinite (%)3.1%
Mean-inf
Minimum-inf
Maximum3.5739887
Zeros0
Zeros (%)0.0%
Negative34
Negative (%)3.1%
Memory size8.6 KiB
2024-10-03T18:07:06.682681image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-inf
5-th percentile2.0438416
Q12.7035747
median3.0050368
Q33.1562545
95-th percentile3.5504599
Maximum3.5739887
Rangeinf
Interquartile range (IQR)0.4526798

Descriptive statistics

Standard deviationnan
Coefficient of variation (CV)nan
Kurtosisnan
Mean-inf
Median Absolute Deviation (MAD)0.2247278
Skewnessnan
Sum-inf
Variancenan
MonotonicityNot monotonic
2024-10-03T18:07:06.784614image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
2.7124622 67
 
6.2%
2.6282163 66
 
6.1%
3.062598 65
 
6.0%
-inf 34
 
3.1%
3.1470249 34
 
3.1%
2.5460713 34
 
3.1%
3.0555933 33
 
3.0%
2.5147572 33
 
3.0%
3.518895 33
 
3.0%
3.3466306 33
 
3.0%
Other values (28) 652
60.1%
ValueCountFrequency (%)
-inf 34
3.1%
1.7199925 13
 
1.2%
2.0438416 25
 
2.3%
2.2790616 33
3.0%
2.5147572 33
3.0%
2.5460713 34
3.1%
2.6108284 31
2.9%
2.6282163 66
6.1%
2.7035747 26
 
2.4%
2.7037332 6
 
0.6%
ValueCountFrequency (%)
3.5739887 1
 
0.1%
3.554397 31
2.9%
3.5504599 31
2.9%
3.518895 33
3.0%
3.467653 2
 
0.2%
3.3466306 33
3.0%
3.210477 33
3.0%
3.2047405 25
2.3%
3.2020779 9
 
0.8%
3.192376 33
3.0%

Alpha_AF7
Real number (ℝ)

Distinct36
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0552791
Minimum1.7214266
Maximum3.5778544
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.6 KiB
2024-10-03T18:07:06.884680image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum1.7214266
5-th percentile1.8330126
Q12.884725
median3.03776
Q33.5534453
95-th percentile3.5769188
Maximum3.5778544
Range1.8564278
Interquartile range (IQR)0.6687203

Descriptive statistics

Standard deviation0.53676953
Coefficient of variation (CV)0.17568592
Kurtosis0.24261582
Mean3.0552791
Median Absolute Deviation (MAD)0.3752227
Skewness-1.0636007
Sum3311.9225
Variance0.28812153
MonotonicityNot monotonic
2024-10-03T18:07:06.989943image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
3.5534453 34
 
3.1%
3.5487707 34
 
3.1%
3.5778544 34
 
3.1%
2.2326343 34
 
3.1%
3.3449423 34
 
3.1%
2.9318626 33
 
3.0%
3.4129827 33
 
3.0%
3.3600266 33
 
3.0%
3.373003 33
 
3.0%
3.5724025 33
 
3.0%
Other values (26) 749
69.1%
ValueCountFrequency (%)
1.7214266 33
3.0%
1.8330126 33
3.0%
1.896803 33
3.0%
2.2326343 34
3.1%
2.283702 32
3.0%
2.5476773 18
1.7%
2.6901555 15
1.4%
2.7778578 33
3.0%
2.8722186 22
2.0%
2.884725 33
3.0%
ValueCountFrequency (%)
3.5778544 34
3.1%
3.5769188 33
3.0%
3.5736384 33
3.0%
3.5735812 33
3.0%
3.5729148 26
2.4%
3.5724025 33
3.0%
3.5702705 32
3.0%
3.5579276 32
3.0%
3.5534453 34
3.1%
3.5487707 34
3.1%

Alpha_AF8
Real number (ℝ)

Distinct35
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8815703
Minimum1.2339983
Maximum2.8521292
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.6 KiB
2024-10-03T18:07:07.089954image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum1.2339983
5-th percentile1.30895
Q11.6001877
median1.839907
Q32.1583574
95-th percentile2.474129
Maximum2.8521292
Range1.6181309
Interquartile range (IQR)0.5581697

Descriptive statistics

Standard deviation0.37211818
Coefficient of variation (CV)0.19777001
Kurtosis-0.23602191
Mean1.8815703
Median Absolute Deviation (MAD)0.2964982
Skewness0.31512092
Sum2039.6222
Variance0.13847194
MonotonicityNot monotonic
2024-10-03T18:07:07.192705image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
1.30895 66
 
6.1%
1.7451304 34
 
3.1%
1.2339983 34
 
3.1%
2.0335007 34
 
3.1%
2.2093604 34
 
3.1%
1.6001877 34
 
3.1%
2.1672237 33
 
3.0%
1.4825948 33
 
3.0%
2.1666732 33
 
3.0%
2.0055048 33
 
3.0%
Other values (25) 716
66.1%
ValueCountFrequency (%)
1.2339983 34
3.1%
1.30895 66
6.1%
1.419389 32
3.0%
1.4662247 31
2.9%
1.4825948 33
3.0%
1.528683 32
3.0%
1.5434088 32
3.0%
1.6001877 34
3.1%
1.6042424 32
3.0%
1.6572841 33
3.0%
ValueCountFrequency (%)
2.8521292 33
3.0%
2.474129 33
3.0%
2.4170325 7
 
0.6%
2.4145653 26
2.4%
2.3769844 33
3.0%
2.2093604 34
3.1%
2.20739 33
3.0%
2.1672237 33
3.0%
2.1666732 33
3.0%
2.1583574 33
3.0%

Alpha_TP10
Real number (ℝ)

Distinct36
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.9474524
Minimum1.576498
Maximum3.588211
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.6 KiB
2024-10-03T18:07:07.298387image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum1.576498
5-th percentile2.1683607
Q12.8752472
median3.0404387
Q33.1131265
95-th percentile3.5737948
Maximum3.588211
Range2.011713
Interquartile range (IQR)0.2378793

Descriptive statistics

Standard deviation0.40593437
Coefficient of variation (CV)0.13772381
Kurtosis2.4949736
Mean2.9474524
Median Absolute Deviation (MAD)0.1128293
Skewness-1.2866529
Sum3195.0384
Variance0.16478271
MonotonicityNot monotonic
2024-10-03T18:07:07.397186image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
3.0400052 66
 
6.1%
3.4998567 34
 
3.1%
1.576498 34
 
3.1%
3.209588 34
 
3.1%
2.999131 34
 
3.1%
3.511931 34
 
3.1%
2.8507872 33
 
3.0%
2.503192 33
 
3.0%
2.9276094 33
 
3.0%
2.6916914 33
 
3.0%
Other values (26) 716
66.1%
ValueCountFrequency (%)
1.576498 34
3.1%
2.1683607 31
2.9%
2.2447915 33
3.0%
2.4249585 33
3.0%
2.503192 33
3.0%
2.6351402 33
3.0%
2.6916914 33
3.0%
2.8507872 33
3.0%
2.8752472 32
3.0%
2.8894143 33
3.0%
ValueCountFrequency (%)
3.588211 31
2.9%
3.5737948 32
3.0%
3.511931 34
3.1%
3.4998567 34
3.1%
3.209588 34
3.1%
3.1572483 32
3.0%
3.1485329 13
 
1.2%
3.138631 33
3.0%
3.116616 19
1.8%
3.1131265 25
2.3%

Beta_TP9
Real number (ℝ)

INFINITE 

Distinct40
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite34
Infinite (%)3.1%
Mean-inf
Minimum-inf
Maximum2.9879563
Zeros0
Zeros (%)0.0%
Negative34
Negative (%)3.1%
Memory size8.6 KiB
2024-10-03T18:07:07.492728image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-inf
5-th percentile1.4495451
Q12.159178
median2.6335793
Q32.75399
95-th percentile2.9505718
Maximum2.9879563
Rangeinf
Interquartile range (IQR)0.594812

Descriptive statistics

Standard deviationnan
Coefficient of variation (CV)nan
Kurtosisnan
Mean-inf
Median Absolute Deviation (MAD)0.3024864
Skewnessnan
Sum-inf
Variancenan
MonotonicityNot monotonic
2024-10-03T18:07:07.589382image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
2.159178 67
 
6.2%
2.116742 66
 
6.1%
2.7560825 65
 
6.0%
-inf 34
 
3.1%
2.7106943 34
 
3.1%
2.1573846 34
 
3.1%
2.2896316 33
 
3.0%
2.067533 33
 
3.0%
2.743849 33
 
3.0%
2.756601 33
 
3.0%
Other values (30) 652
60.1%
ValueCountFrequency (%)
-inf 34
3.1%
1.287127 13
 
1.2%
1.4495451 25
 
2.3%
1.9677907 33
3.0%
2.067533 33
3.0%
2.116742 66
6.1%
2.1567025 26
 
2.4%
2.1573846 34
3.1%
2.159178 67
6.2%
2.166515 31
2.9%
ValueCountFrequency (%)
2.9879563 33
3.0%
2.9505718 33
3.0%
2.9360657 33
3.0%
2.8987775 33
3.0%
2.8916037 31
2.9%
2.8039043 1
 
0.1%
2.7846396 7
 
0.6%
2.756601 33
3.0%
2.7560825 65
6.0%
2.75399 31
2.9%

Beta_AF7
Real number (ℝ)

Distinct58
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2469417
Minimum0.47960114
Maximum3.009965
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.6 KiB
2024-10-03T18:07:07.709594image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0.47960114
5-th percentile1.2355081
Q12.0973804
median2.4615333
Q32.5864856
95-th percentile2.8453584
Maximum3.009965
Range2.5303639
Interquartile range (IQR)0.4891052

Descriptive statistics

Standard deviation0.5281933
Coefficient of variation (CV)0.2350721
Kurtosis1.8255099
Mean2.2469417
Median Absolute Deviation (MAD)0.1835187
Skewness-1.4302709
Sum2435.6848
Variance0.27898817
MonotonicityNot monotonic
2024-10-03T18:07:07.829280image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.6285224 33
 
3.0%
1.2625222 33
 
3.0%
2.549056 33
 
3.0%
2.3211749 33
 
3.0%
2.5049484 33
 
3.0%
3.009965 33
 
3.0%
2.2026408 33
 
3.0%
2.5404744 33
 
3.0%
2.2303684 33
 
3.0%
1.3568734 33
 
3.0%
Other values (48) 754
69.6%
ValueCountFrequency (%)
0.47960114 2
 
0.2%
0.5209938 26
2.4%
0.56675136 5
 
0.5%
1.234909 15
1.4%
1.2355081 17
1.6%
1.2625222 33
3.0%
1.3568734 33
3.0%
1.6285224 33
3.0%
1.7228292 5
 
0.5%
1.8197392 29
2.7%
ValueCountFrequency (%)
3.009965 33
3.0%
2.851768 3
 
0.3%
2.8453584 26
2.4%
2.8067808 4
 
0.4%
2.7443666 5
 
0.5%
2.7369642 26
2.4%
2.7238736 1
 
0.1%
2.705656 26
2.4%
2.6948857 11
 
1.0%
2.6948833 5
 
0.5%

Beta_AF8
Real number (ℝ)

Distinct44
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3167508
Minimum0.75283533
Maximum2.1775033
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.6 KiB
2024-10-03T18:07:07.925974image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0.75283533
5-th percentile0.75283533
Q11.0837396
median1.3466654
Q31.5576808
95-th percentile1.9249992
Maximum2.1775033
Range1.424668
Interquartile range (IQR)0.4739412

Descriptive statistics

Standard deviation0.34595971
Coefficient of variation (CV)0.26273743
Kurtosis-0.30652745
Mean1.3167508
Median Absolute Deviation (MAD)0.2321314
Skewness0.24432211
Sum1427.3578
Variance0.11968812
MonotonicityNot monotonic
2024-10-03T18:07:08.026224image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
0.75283533 66
 
6.1%
1.1435024 34
 
3.1%
0.8895851 34
 
3.1%
1.3874172 34
 
3.1%
1.7112182 34
 
3.1%
1.2021985 34
 
3.1%
1.3907152 33
 
3.0%
1.7771965 33
 
3.0%
1.5788689 33
 
3.0%
1.3466654 33
 
3.0%
Other values (34) 716
66.1%
ValueCountFrequency (%)
0.75283533 66
6.1%
0.7605742 32
3.0%
0.8099055 31
2.9%
0.8216601 3
 
0.3%
0.8895851 34
3.1%
0.915512 30
2.8%
0.98826206 32
3.0%
1.0723467 32
3.0%
1.0837396 33
3.0%
1.114534 33
3.0%
ValueCountFrequency (%)
2.1775033 33
3.0%
1.9249992 33
3.0%
1.8137262 7
 
0.6%
1.7771965 33
3.0%
1.7302734 26
2.4%
1.7112182 34
3.1%
1.6756438 33
3.0%
1.6217887 6
 
0.6%
1.5788689 33
3.0%
1.5678754 26
2.4%

Beta_TP10
Real number (ℝ)

Distinct43
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4498608
Minimum1.0228919
Maximum2.9817488
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.6 KiB
2024-10-03T18:07:08.124042image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum1.0228919
5-th percentile1.578205
Q12.3073606
median2.5687234
Q32.7776113
95-th percentile2.9395626
Maximum2.9817488
Range1.9588569
Interquartile range (IQR)0.4702507

Descriptive statistics

Standard deviation0.43324745
Coefficient of variation (CV)0.17684574
Kurtosis1.8887178
Mean2.4498608
Median Absolute Deviation (MAD)0.222888
Skewness-1.4084782
Sum2655.6491
Variance0.18770335
MonotonicityNot monotonic
2024-10-03T18:07:08.392423image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
2.5687234 66
 
6.1%
1.0228919 34
 
3.1%
2.9817488 34
 
3.1%
2.8074582 34
 
3.1%
2.7265518 34
 
3.1%
2.0960217 33
 
3.0%
1.7565564 33
 
3.0%
2.4216526 33
 
3.0%
2.1745203 33
 
3.0%
2.6164317 33
 
3.0%
Other values (33) 717
66.1%
ValueCountFrequency (%)
1.0228919 34
3.1%
1.578205 31
2.9%
1.7565564 33
3.0%
1.8137001 33
3.0%
1.8790566 20
1.8%
1.9388595 13
 
1.2%
2.0960217 33
3.0%
2.1468775 32
3.0%
2.1745203 33
3.0%
2.3073606 33
3.0%
ValueCountFrequency (%)
2.9817488 34
3.1%
2.9395626 26
2.4%
2.9231758 31
2.9%
2.857528 25
2.3%
2.8496883 6
 
0.6%
2.847894 8
 
0.7%
2.8300178 32
3.0%
2.8184302 33
3.0%
2.8074582 34
3.1%
2.7916114 33
3.0%

Gamma_TP9
Real number (ℝ)

INFINITE 

Distinct40
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite34
Infinite (%)3.1%
Mean-inf
Minimum-inf
Maximum2.4048707
Zeros0
Zeros (%)0.0%
Negative34
Negative (%)3.1%
Memory size8.6 KiB
2024-10-03T18:07:08.499400image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-inf
5-th percentile0.8329261
Q11.5564008
median2.0060937
Q32.1868684
95-th percentile2.324459
Maximum2.4048707
Rangeinf
Interquartile range (IQR)0.6304676

Descriptive statistics

Standard deviationnan
Coefficient of variation (CV)nan
Kurtosisnan
Mean-inf
Median Absolute Deviation (MAD)0.2985599
Skewnessnan
Sum-inf
Variancenan
MonotonicityNot monotonic
2024-10-03T18:07:08.593587image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
1.5798824 67
 
6.2%
1.5105191 66
 
6.1%
2.1868684 65
 
6.0%
-inf 34
 
3.1%
2.088085 34
 
3.1%
1.5531863 34
 
3.1%
1.6882493 33
 
3.0%
1.4742848 33
 
3.0%
2.2777731 33
 
3.0%
2.1344419 33
 
3.0%
Other values (30) 652
60.1%
ValueCountFrequency (%)
-inf 34
3.1%
0.6925167 13
 
1.2%
0.8329261 25
 
2.3%
1.3601607 33
3.0%
1.4742848 33
3.0%
1.5105191 66
6.1%
1.5436003 31
2.9%
1.5531863 34
3.1%
1.5564008 26
 
2.4%
1.5798824 67
6.2%
ValueCountFrequency (%)
2.4048707 31
2.9%
2.324459 33
3.0%
2.3121371 33
3.0%
2.3046536 33
3.0%
2.2848382 1
 
0.1%
2.2777731 33
3.0%
2.2675738 33
3.0%
2.2350383 31
2.9%
2.1868684 65
6.0%
2.185562 7
 
0.6%

Gamma_AF7
Real number (ℝ)

Distinct58
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.706903
Minimum0.065828994
Maximum2.555032
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.6 KiB
2024-10-03T18:07:08.690785image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0.065828994
5-th percentile0.6506614
Q11.556748
median1.8649422
Q32.0640807
95-th percentile2.389335
Maximum2.555032
Range2.489203
Interquartile range (IQR)0.5073327

Descriptive statistics

Standard deviation0.54778178
Coefficient of variation (CV)0.32092144
Kurtosis0.81883916
Mean1.706903
Median Absolute Deviation (MAD)0.2295426
Skewness-1.1559618
Sum1850.2829
Variance0.30006488
MonotonicityNot monotonic
2024-10-03T18:07:08.797830image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.1705371 33
 
3.0%
0.6506614 33
 
3.0%
2.0485919 33
 
3.0%
1.8649422 33
 
3.0%
2.0478973 33
 
3.0%
2.555032 33
 
3.0%
1.6716135 33
 
3.0%
1.9485741 33
 
3.0%
1.6353996 33
 
3.0%
0.6828198 33
 
3.0%
Other values (48) 754
69.6%
ValueCountFrequency (%)
0.065828994 2
 
0.2%
0.10722168 26
2.4%
0.15297917 5
 
0.5%
0.6506614 33
3.0%
0.66549224 15
1.4%
0.6828198 33
3.0%
0.6953034 17
1.6%
0.9728908 5
 
0.5%
1.0698007 29
2.7%
1.1705371 33
3.0%
ValueCountFrequency (%)
2.555032 33
3.0%
2.3957002 3
 
0.3%
2.389335 26
2.4%
2.3505442 4
 
0.4%
2.2537286 26
2.4%
2.2426448 5
 
0.5%
2.2148483 3
 
0.3%
2.1882899 9
 
0.8%
2.1775148 25
2.3%
2.142753 8
 
0.7%

Gamma_AF8
Real number (ℝ)

Distinct44
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.74767322
Minimum0.32042298
Maximum1.6209455
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.6 KiB
2024-10-03T18:07:08.893194image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0.32042298
5-th percentile0.35662135
Q10.44927314
median0.73920745
Q30.9430376
95-th percentile1.3193951
Maximum1.6209455
Range1.3005225
Interquartile range (IQR)0.49376446

Descriptive statistics

Standard deviation0.31688792
Coefficient of variation (CV)0.42383211
Kurtosis-0.072332961
Mean0.74767322
Median Absolute Deviation (MAD)0.26387072
Skewness0.65568774
Sum810.47777
Variance0.10041795
MonotonicityNot monotonic
2024-10-03T18:07:08.993201image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
0.3569301 66
 
6.1%
0.6158773 34
 
3.1%
0.32042298 34
 
3.1%
0.8800665 34
 
3.1%
1.1301459 34
 
3.1%
0.44927314 34
 
3.1%
0.78935224 33
 
3.0%
1.1666821 33
 
3.0%
1.013993 33
 
3.0%
0.73920745 33
 
3.0%
Other values (34) 716
66.1%
ValueCountFrequency (%)
0.32042298 34
3.1%
0.35662135 33
3.0%
0.3569301 66
6.1%
0.38617098 3
 
0.3%
0.39657575 32
3.0%
0.4077244 32
3.0%
0.43372443 31
2.9%
0.44918224 33
3.0%
0.44927314 34
3.1%
0.47533673 30
2.8%
ValueCountFrequency (%)
1.6209455 33
3.0%
1.3193951 33
3.0%
1.2315881 7
 
0.6%
1.1666821 33
3.0%
1.152124 26
2.4%
1.1301459 34
3.1%
1.094381 33
3.0%
1.0199096 6
 
0.6%
1.013993 33
3.0%
0.9574892 31
2.9%

Gamma_TP10
Real number (ℝ)

Distinct44
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8574053
Minimum0.39911273
Maximum2.4810975
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.6 KiB
2024-10-03T18:07:09.111913image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0.39911273
5-th percentile1.0441974
Q11.7216434
median1.977129
Q32.2095065
95-th percentile2.4598122
Maximum2.4810975
Range2.0819848
Interquartile range (IQR)0.4878631

Descriptive statistics

Standard deviation0.44813206
Coefficient of variation (CV)0.24126779
Kurtosis1.69375
Mean1.8574053
Median Absolute Deviation (MAD)0.2371285
Skewness-1.2726053
Sum2013.4273
Variance0.20082234
MonotonicityNot monotonic
2024-10-03T18:07:09.212897image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
1.977129 66
 
6.1%
0.39911273 34
 
3.1%
2.34383 34
 
3.1%
2.3099396 34
 
3.1%
2.126828 34
 
3.1%
1.4613523 33
 
3.0%
1.1168376 33
 
3.0%
1.8341525 33
 
3.0%
1.5952854 33
 
3.0%
1.8581349 33
 
3.0%
Other values (34) 717
66.1%
ValueCountFrequency (%)
0.39911273 34
3.1%
1.0441974 31
2.9%
1.1168376 33
3.0%
1.1689032 33
3.0%
1.29335 1
 
0.1%
1.2933544 19
1.8%
1.3410618 13
 
1.2%
1.4613523 33
3.0%
1.5650926 32
3.0%
1.5952854 33
3.0%
ValueCountFrequency (%)
2.4810975 26
2.4%
2.4598122 31
2.9%
2.390963 6
 
0.6%
2.34383 34
3.1%
2.3099396 34
3.1%
2.2770498 21
1.9%
2.2339485 25
2.3%
2.2314274 32
3.0%
2.2168396 8
 
0.7%
2.2142575 33
3.0%

Interactions

2024-10-03T18:07:02.621293image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:25.051126image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:26.934937image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:28.826908image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:30.527386image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:32.303900image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:34.013713image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:35.634473image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:37.473516image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:39.952089image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:44.336469image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:46.301245image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:48.636923image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:50.536499image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:52.226073image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:53.898961image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:55.719379image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:57.636010image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:59.242031image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:07:01.029010image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:07:02.704026image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:25.141991image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:27.018895image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:28.914053image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:30.610297image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:32.406838image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
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2024-10-03T18:06:34.168447image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:35.818797image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:37.662008image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:40.249954image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
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2024-10-03T18:07:02.920764image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:25.367966image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:27.389128image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:29.085675image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:30.776032image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:32.591041image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:34.253015image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:35.916971image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:37.760124image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:40.392241image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:44.635281image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
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2024-10-03T18:06:48.966856image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:50.917951image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
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2024-10-03T18:06:54.133430image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:55.978472image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:57.888963image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:59.476786image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
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2024-10-03T18:06:37.836336image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:40.532878image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:44.720492image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
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2024-10-03T18:07:01.379395image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
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2024-10-03T18:06:25.559119image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
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2024-10-03T18:06:29.243236image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:30.951367image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:32.756996image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
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2024-10-03T18:06:36.086330image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
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2024-10-03T18:06:57.464715image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:59.080866image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:07:00.854549image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:07:02.474287image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:07:04.433290image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:26.863189image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:28.752069image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:30.451469image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:32.235102image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:33.936565image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:35.552925image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:37.394298image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:39.781818image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:44.198789image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:46.231183image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:48.514892image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:50.459512image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:52.149452image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:53.831754image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:55.639210image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:57.555838image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:59.172252image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:07:00.942914image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:07:02.547517image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Missing values

2024-10-03T18:07:04.541106image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
A simple visualization of nullity by column.
2024-10-03T18:07:04.764338image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

Delta_TP9Delta_AF7Delta_AF8Delta_TP10Theta_TP9Theta_AF7Theta_AF8Theta_TP10Alpha_TP9Alpha_AF7Alpha_AF8Alpha_TP10Beta_TP9Beta_AF7Beta_AF8Beta_TP10Gamma_TP9Gamma_AF7Gamma_AF8Gamma_TP10
04.0438922.6961931.6701874.0777083.0207452.6487651.2176123.0672182.7615243.037761.4193892.9952142.4686872.097380.7605742.567151.893541.6241430.3965761.9884
14.0438922.6961931.6701874.0777083.0207452.6487651.2176123.0672182.7615243.037761.4193892.9952142.4686872.097380.7605742.567151.893541.6241430.3965761.9884
24.0438922.6961931.6701874.0777083.0207452.6487651.2176123.0672182.7615243.037761.4193892.9952142.4686872.097380.7605742.567151.893541.6241430.3965761.9884
34.0438922.6961931.6701874.0777083.0207452.6487651.2176123.0672182.7615243.037761.4193892.9952142.4686872.097380.7605742.567151.893541.6241430.3965761.9884
44.0438922.6961931.6701874.0777083.0207452.6487651.2176123.0672182.7615243.037761.4193892.9952142.4686872.097380.7605742.567151.893541.6241430.3965761.9884
54.0438922.6961931.6701874.0777083.0207452.6487651.2176123.0672182.7615243.037761.4193892.9952142.4686872.097380.7605742.567151.893541.6241430.3965761.9884
64.0438922.6961931.6701874.0777083.0207452.6487651.2176123.0672182.7615243.037761.4193892.9952142.4686872.097380.7605742.567151.893541.6241430.3965761.9884
74.0438922.6961931.6701874.0777083.0207452.6487651.2176123.0672182.7615243.037761.4193892.9952142.4686872.097380.7605742.567151.893541.6241430.3965761.9884
84.0438922.6961931.6701874.0777083.0207452.6487651.2176123.0672182.7615243.037761.4193892.9952142.4686872.097380.7605742.567151.893541.6241430.3965761.9884
94.0438922.6961931.6701874.0777083.0207452.6487651.2176123.0672182.7615243.037761.4193892.9952142.4686872.097380.7605742.567151.893541.6241430.3965761.9884
Delta_TP9Delta_AF7Delta_AF8Delta_TP10Theta_TP9Theta_AF7Theta_AF8Theta_TP10Alpha_TP9Alpha_AF7Alpha_AF8Alpha_TP10Beta_TP9Beta_AF7Beta_AF8Beta_TP10Gamma_TP9Gamma_AF7Gamma_AF8Gamma_TP10
10743.608532.3621591.9320633.9858922.5874591.8647491.3138183.1718422.6282161.8330131.308953.0558962.1167421.3568730.7528352.6560751.5105190.682820.356932.089402
10753.608532.3621591.9320633.9858922.5874591.8647491.3138183.1718422.6282161.8330131.308953.0558962.1167421.3568730.7528352.6560751.5105190.682820.356932.089402
10763.608532.3621591.9320633.9858922.5874591.8647491.3138183.1718422.6282161.8330131.308953.0558962.1167421.3568730.7528352.6560751.5105190.682820.356932.089402
10773.608532.3621591.9320633.9858922.5874591.8647491.3138183.1718422.6282161.8330131.308953.0558962.1167421.3568730.7528352.6560751.5105190.682820.356932.089402
10783.608532.3621591.9320633.9858922.5874591.8647491.3138183.1718422.6282161.8330131.308953.0558962.1167421.3568730.7528352.6560751.5105190.682820.356932.089402
10793.608532.3621591.9320633.9858922.5874591.8647491.3138183.1718422.6282161.8330131.308953.0558962.1167421.3568730.7528352.6560751.5105190.682820.356932.089402
10803.608532.3621591.9320633.9858922.5874591.8647491.3138183.1718422.6282161.8330131.308953.0558962.1167421.3568730.7528352.6560751.5105190.682820.356932.089402
10813.608532.3621591.9320633.9858922.5874591.8647491.3138183.1718422.6282161.8330131.308953.0558962.1167421.3568730.7528352.6560751.5105190.682820.356932.089402
10823.608532.3621591.9320633.9858922.5874591.8647491.3138183.1718422.6282161.8330131.308953.0558962.1167421.3568730.7528352.6560751.5105190.682820.356932.089402
10833.608532.3621591.9320633.9858922.5874591.8647491.3138183.1718422.6282161.8330131.308953.0558962.1167421.3568730.7528352.6560751.5105190.682820.356932.089402

Duplicate rows

Most frequently occurring

Delta_TP9Delta_AF7Delta_AF8Delta_TP10Theta_TP9Theta_AF7Theta_AF8Theta_TP10Alpha_TP9Alpha_AF7Alpha_AF8Alpha_TP10Beta_TP9Beta_AF7Beta_AF8Beta_TP10Gamma_TP9Gamma_AF7Gamma_AF8Gamma_TP10# duplicates
43.2889843.5365482.3321643.6997423.3075503.5765041.7001352.6878113.5188953.5724021.4825952.6351402.7438493.0099651.0837402.1745202.2777732.5550320.4491821.59528533
73.5509483.0659262.4434693.9143712.5502923.0651581.6633732.9421842.5147573.3730031.8399073.0454302.0675332.5049481.2496932.4216531.4742852.0478970.5391481.83415333
83.6085302.3621591.9320633.9858922.5874591.8647491.3138183.1718422.6282161.8330131.3089503.0558962.1167421.3568730.7528352.6560751.5105190.6828200.3569302.08940233
133.6504302.8784232.7957513.2818782.6709112.8769641.8349332.1558162.7124623.3600271.7509192.2447912.1591782.3211751.3466651.7565561.5798821.8649420.7392071.11683833
203.7625302.2342883.1494374.1245972.7938462.1797952.1750393.0893252.8553632.9712222.1583573.0562932.2616951.6285221.6756442.5980751.6888891.1705371.0943811.96561733
344.1157763.6504283.4020553.9063383.1633052.7347192.4044222.9171983.0614462.8847252.4741293.0404392.6335792.2999861.9249992.3904452.0060941.6695921.3193951.80166533
314.0438922.6961931.6701874.0777083.0207452.6487651.2176123.0672182.7615243.0377601.4193892.9952142.4686872.0973800.7605742.5671501.8935401.6241430.3965761.98840032
113.6342363.8465651.9023643.4549392.6412312.8793081.4303473.4878902.6108282.9978861.4662253.5882112.1665152.3757220.8099052.9231761.5436001.7959980.4337242.45981231
263.9283073.6624612.9600013.1335243.4441213.0206571.9195952.0014583.5543973.0129292.0450832.1683612.8916042.4766071.5101631.5782052.4048711.7649920.9574891.04419731
1-inf2.8350173.1962353.900254-inf2.4218722.1850673.351080-inf2.2326342.2093603.499857-inf1.8197391.7112182.807458-inf1.0698011.1301462.30994029